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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDEL1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
17.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
38.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
34.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
33.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
32.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
30.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
30.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
27.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
27.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
25.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
25.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
25.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
25.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
25.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
24.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
23.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
23.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
22.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
22.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
21.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
21.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
21.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
21.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
20.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
20.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
19.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
19.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
19.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
19.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
18.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
18.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
18.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
16.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
15.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
15.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
15.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
14.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
14.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
14.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
13.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
13.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
12.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
12.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
10.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
10.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDEL1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
46.7
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
97.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
93.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
84.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
84.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
83.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
81.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
81.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
80.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
78.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
76.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
76.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
75.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
75.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
73.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
73.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
72.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
72.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
71.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
71.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
69.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
68.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
67.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
67.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
66.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
65.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
64.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
64.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
64.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
62.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
62.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
62.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
61.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
61.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
61.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
60.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
60.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
60.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
60.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
60.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
59.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
59.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
59.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
58.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
58.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
58.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
58.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
58.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
56.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
56.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
55.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
54.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
54.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
54.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
53.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
53.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
53.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
52.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
52.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
52.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
50.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
50.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
48.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
47.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
47.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
47.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
46.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
46.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
45.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
43.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
43.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
42.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
41.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
41.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
40.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
40.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
40.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
40.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
39.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
38.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
38.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
37.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
36.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
36.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
35.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
35.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
33.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
33.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
33.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
32.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
31.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
31.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
31.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
31.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
30.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
30.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
29.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
28.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
28.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
28.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
28.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
28.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
27.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
27.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
26.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
26.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
25.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
22.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
20.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
19.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
18.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
17.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDEL1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
32.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
26.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
24.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
21.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
20.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
19.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
19.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
19.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
17.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
16.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
16.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
14.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
13.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
13.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDEL1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
44.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
84.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
77.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
74.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
70.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
69.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
68.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
68.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
64.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
62.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
61.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
60.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
57.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
57.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
56.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
55.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
53.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
52.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
47.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
46.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
45.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
44.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
42.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
40.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
40.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
38.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
37.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
34.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
34.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
33.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
32.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
32.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
32.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
30.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
29.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
25.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
23.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
19.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
